ezyrb.reducedordermodel.ReducedOrderModel.optimal_mu

ReducedOrderModel.optimal_mu(error=None, k=1)

Return the parametric points where new high-fidelity solutions have to be computed in order to globally reduce the estimated error. These points are the barycentric center of the region (simplex) with higher error.

Parameters:

• error (numpy.ndarray) – the estimated error evaluated for each snapshot; if error array is not passed, it is computed using loo_error() with the default function. Default value is None.

• k (int) – the number of optimal points to return. Default value is 1.

Returns:

the optimal points

Return type:

numpy.ndarray